Peer-to-peer data searching using relevant peer selection and local availability estimation

Due to the dynamic, robust and resource-intense environment of the peer-to peer systems, traditional approach of searching has become obsolete as systems becomes bigger and wider. Lack of knowledge, administrative and peers' churning are among the obstacles for researchers to develop an efficie...

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Main Author:	Ishak, Iskandar
Format:	Thesis
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/36883/1/IskandarIshakPFSKSM2011.pdf
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id	my-utm-ep.36883
record_format	uketd_dc
spelling	my-utm-ep.368832018-05-27T08:15:34Z Peer-to-peer data searching using relevant peer selection and local availability estimation 2011-08 Ishak, Iskandar QA75 Electronic computers. Computer science Due to the dynamic, robust and resource-intense environment of the peer-to peer systems, traditional approach of searching has become obsolete as systems becomes bigger and wider. Lack of knowledge, administrative and peers' churning are among the obstacles for researchers to develop an efficient searching mechanism. Proper peer selection is one way of deriving effective searching mechanism. Peers that are considered of relevance, should be chosen to receive the search query in order to increase the search efficiency and obtain better retrieval rates. In this thesis, two approaches have been developed to produce efficient searching mechanism in peer-topeer system. The first contribution is the flood-based relevant search method where peer relevance determination is based on the query feedback data. Peer relevance is based on whether the peer has answered previous queries and how much the queries answered have content similarity with the ongoing query. A metric graph has been proposed to calculate the relevance of peers based on the values of their query hits and query similarity with the current ongoing query terms. The method is then improved by implementing a dynamic threshold value for relevant peer selection based on the nearest-neighbor concept. The experimental results showed that, the proposed method managed to record high efficiency in search results by having high query hits with low number of messages used. The research also proposed a trust based search approach for unstructured peer-to-peer system. It is developed to reduce the effect of nodes churning on the system. In the trust-based method, three components, namely peer relevance, peer availability and query hops are used. The model uses the boolean concept in decision making for selecting trusted peers. The results obtained showed that the effect ofnodes churning in query hits have been reduced from four percent to two percent. 2011-08 Thesis http://eprints.utm.my/id/eprint/36883/ http://eprints.utm.my/id/eprint/36883/1/IskandarIshakPFSKSM2011.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Ishak, Iskandar Peer-to-peer data searching using relevant peer selection and local availability estimation
description	Due to the dynamic, robust and resource-intense environment of the peer-to peer systems, traditional approach of searching has become obsolete as systems becomes bigger and wider. Lack of knowledge, administrative and peers' churning are among the obstacles for researchers to develop an efficient searching mechanism. Proper peer selection is one way of deriving effective searching mechanism. Peers that are considered of relevance, should be chosen to receive the search query in order to increase the search efficiency and obtain better retrieval rates. In this thesis, two approaches have been developed to produce efficient searching mechanism in peer-topeer system. The first contribution is the flood-based relevant search method where peer relevance determination is based on the query feedback data. Peer relevance is based on whether the peer has answered previous queries and how much the queries answered have content similarity with the ongoing query. A metric graph has been proposed to calculate the relevance of peers based on the values of their query hits and query similarity with the current ongoing query terms. The method is then improved by implementing a dynamic threshold value for relevant peer selection based on the nearest-neighbor concept. The experimental results showed that, the proposed method managed to record high efficiency in search results by having high query hits with low number of messages used. The research also proposed a trust based search approach for unstructured peer-to-peer system. It is developed to reduce the effect of nodes churning on the system. In the trust-based method, three components, namely peer relevance, peer availability and query hops are used. The model uses the boolean concept in decision making for selecting trusted peers. The results obtained showed that the effect ofnodes churning in query hits have been reduced from four percent to two percent.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ishak, Iskandar
author_facet	Ishak, Iskandar
author_sort	Ishak, Iskandar
title	Peer-to-peer data searching using relevant peer selection and local availability estimation
title_short	Peer-to-peer data searching using relevant peer selection and local availability estimation
title_full	Peer-to-peer data searching using relevant peer selection and local availability estimation
title_fullStr	Peer-to-peer data searching using relevant peer selection and local availability estimation
title_full_unstemmed	Peer-to-peer data searching using relevant peer selection and local availability estimation
title_sort	peer-to-peer data searching using relevant peer selection and local availability estimation
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2011
url	http://eprints.utm.my/id/eprint/36883/1/IskandarIshakPFSKSM2011.pdf
_version_	1747816472905777152

Peer-to-peer data searching using relevant peer selection and local availability estimation

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